Publication: Information fusion as input source for improving multi-agent system autonomous decision-making in maritime surveillance scenarios
Loading...
Identifiers
Publication date
2014-10-07
Defense date
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Impact
Export
Abstract
Decision making problems are usually referred as a cognitive process resulting in the selection of an action among several alternatives. Autonomous entities taking these actions like multi-agent systems, needs to process and understand its environment state to frequently update its beliefs, and then, select an optimal action. As an environment can be composed by several sources of information, it is useful for a multi-agent system, a way to process integrated information of multiple data which represents the same real-world object. This information can improve the agents knowledge and let select better actions than processing simple raw data. Most information fusion research has had a technical and algorithmic focus, and takes little attention to high level decision making, although some studies relate fusion to human decision making. However, in this paper is proposed the use of fused information as an input source for supporting and improving the decision making capabilities of autonomous agents in maritime surveillance scenarios.
Description
Keywords
Sensors, Cameras, Monitoring, Data integration, Radar Tracking System, Decision making, Multi-agent systems, Marine radar
Bibliographic citation
Proceedings of the 17th International Conference on Information Fusion (FUSION 2014), Salamanca, 7-10th July 2014. IEEE, [p. 8]